Precip GTM brain

category

market profile

• text: The product spans a consumer weather app, multi-site professional operations and a weather API with MCP access.
• text: Weather-sensitive operators need both forecasts for planning and observed rainfall records for past events.

personas

• title: Agricultural or field operations manager
  pains:

  • Forecasts for the nearest town may miss conditions at individual fields
  • Driving to sites to check rain delays crew scheduling
• title: Weather data or product engineer
  pains:

  • Coarse forecasts do not tell the team how much rain actually fell
  • Integrating historical observations and forecast data from separate providers adds work
• title: Weather-conscious consumer
  pains:

  • False rain alarms or missed storms disrupt outdoor plans
  • Want to know exactly when rain begins and ends at a chosen spot

icp

• text: US agriculture, landscaping, construction and property operations managing multiple weather-exposed sites and crews.
• text: Software and analytics teams embedding observed precipitation and forecasts into applications or agent workflows; developer API supports multiple interfaces.
• text: Consumers planning around hyperlocal rain and snow on iPhone, Android or the web.

message pillars

• text: Position the forecast as locally precise and independently checkable.
• text: Show real observations, not only forecasts, for operational sites.
• text: Make weather data usable in existing developer workflows.
• text: Help people plan around the start and end of rainfall.

objections

• objection: Our existing free weather app is good enough.
  response: Compare the public benchmark and test its local nowcast and measured totals against the sites where decisions matter.
• objection: A forecast is not proof of actual rainfall.
  response: Use the observed precipitation history and inspect its documented radar and gauge methodology for the intended use.
• objection: Will this fit our operational systems?
  response: Review the API, export formats and site alert features in a small pilot before deployment.

competitors

• name: The Weather Channel
  website: https://weather.com/
  why: Consumer forecasts, radar and weather data APIs address overlapping needs.
• name: Tomorrow.io
  why: Weather forecasting and data competitor named in Precip's own benchmark.
• name: Apple Weather
  why: Consumer weather app named in Precip's direct accuracy comparisons.

keywords

• hyperlocal rain forecast
• historical rainfall by location
• weather API rainfall
• virtual rain gauge
• farm weather alerts
• construction site weather forecast
• weather MCP API

voice

• Confident and comparative
• Evidence-led
• Plainspoken

signals

• text: An operator coordinates crews across multiple outdoor sites and needs rain thresholds or records.
• text: A developer is integrating observed precipitation or forecast data into a product or AI workflow.

stack

• REST API
• MCP
• ArcGIS ImageServer
• map tiles

pricing

motion

channels

• SEO
• app stores
• X
• Instagram
• API documentation

confidence

Founders

• name: Jesse Vollmar
  title: Founder/CEO
  role: CEO
  bio: Previously CEO of FarmLogs (YC W12) where we built the most popular farm management software in the US and raised $37m from top investors like Sam Altman and Drive Capital. Currently building Precip (YC W24). We measure rain without needing gauges.
• name: Michael Asher
  title: Founder/CTO
  role: CTO
  bio: Data scientist and software engineer. Fascinated by agriculture and construction.